Communicability angle and the spatial efficiency of networks

Ernesto Estrada, Naomichi Hatano

Research output: Book/ReportOther report

12 Citations (Scopus)

Abstract

We introduce the concept of communicability angle between a pair of nodes in a graph. We provide strong analytical and empirical evidence that the average communicability angle for a given network accounts for its spatial efficiency on the basis of the communications among the nodes in a network. We determine characteristics of the spatial efficiency of more than a hundred real-world complex networks that represent complex systems arising in a diverse set of scenarios. In particular, we find that the communicability angle correlates very well with the experimentally measured the relative packing efficiency of proteins that are represented as residue networks. We finally show how we can modulate the spatial efficiency of a network by tuning the weights of the edges of the networks. This allows us to predict effects of external stresses on the spatial efficiency of a network as well as to design strategies to improve important parameters in real-world complex systems.
LanguageEnglish
Place of PublicationGlasgow
PublisherUniversity of Strathclyde
Number of pages24
Publication statusPublished - 3 Nov 2016

Fingerprint

Angle
Complex Systems
Vertex of a graph
Complex Networks
Correlate
Packing
Tuning
Protein
Predict
Scenarios
Graph in graph theory

Keywords

  • complex network
  • Euclidean distance
  • graph planarity
  • graph distance
  • communicability

Cite this

Estrada, E., & Hatano, N. (2016). Communicability angle and the spatial efficiency of networks. Glasgow: University of Strathclyde.
Estrada, Ernesto ; Hatano, Naomichi. / Communicability angle and the spatial efficiency of networks. Glasgow : University of Strathclyde, 2016. 24 p.
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Estrada, E & Hatano, N 2016, Communicability angle and the spatial efficiency of networks. University of Strathclyde, Glasgow.

Communicability angle and the spatial efficiency of networks. / Estrada, Ernesto; Hatano, Naomichi.

Glasgow : University of Strathclyde, 2016. 24 p.

Research output: Book/ReportOther report

TY - BOOK

T1 - Communicability angle and the spatial efficiency of networks

AU - Estrada, Ernesto

AU - Hatano, Naomichi

PY - 2016/11/3

Y1 - 2016/11/3

N2 - We introduce the concept of communicability angle between a pair of nodes in a graph. We provide strong analytical and empirical evidence that the average communicability angle for a given network accounts for its spatial efficiency on the basis of the communications among the nodes in a network. We determine characteristics of the spatial efficiency of more than a hundred real-world complex networks that represent complex systems arising in a diverse set of scenarios. In particular, we find that the communicability angle correlates very well with the experimentally measured the relative packing efficiency of proteins that are represented as residue networks. We finally show how we can modulate the spatial efficiency of a network by tuning the weights of the edges of the networks. This allows us to predict effects of external stresses on the spatial efficiency of a network as well as to design strategies to improve important parameters in real-world complex systems.

AB - We introduce the concept of communicability angle between a pair of nodes in a graph. We provide strong analytical and empirical evidence that the average communicability angle for a given network accounts for its spatial efficiency on the basis of the communications among the nodes in a network. We determine characteristics of the spatial efficiency of more than a hundred real-world complex networks that represent complex systems arising in a diverse set of scenarios. In particular, we find that the communicability angle correlates very well with the experimentally measured the relative packing efficiency of proteins that are represented as residue networks. We finally show how we can modulate the spatial efficiency of a network by tuning the weights of the edges of the networks. This allows us to predict effects of external stresses on the spatial efficiency of a network as well as to design strategies to improve important parameters in real-world complex systems.

KW - complex network

KW - Euclidean distance

KW - graph planarity

KW - graph distance

KW - communicability

M3 - Other report

BT - Communicability angle and the spatial efficiency of networks

PB - University of Strathclyde

CY - Glasgow

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Estrada E, Hatano N. Communicability angle and the spatial efficiency of networks. Glasgow: University of Strathclyde, 2016. 24 p.